ACCENTURE GLOBAL SERVICE GmbH

ACCENTURE GLOBAL SERVICE GmbH Patent applications

Patent application number

Title

Published

20100312604

TECHNICIAN CONTROL SYSTEM - Technician control, in which a control system is configured to control scheduling and dispatch operations for work orders being handled by technicians. Multiple technician devices are each associated with one or more technicians, are configured to communicate, over a network, with the control system, and also are configured to provide output in response to communications that are received from the control system and that are related to the scheduling and dispatch operations performed by the control system. A set of scheduling configuration options may be pre-defined and user input weighting at least one of the scheduling configuration options relative to other of the scheduling configuration options may be received. A scheduling application used by the control system to perform scheduling operations may be configured based on configuration data that reflects the weighting and scheduling operations may be performed using the configured scheduling application.

12-09-2010

20090313065

SYSTEM AND TOOL FOR BUSINESS DRIVEN MANAGEMENT - A system/tool/service for a business driven management is described. A strategic alignment is determined for a plurality of services. Demand planning is driven in accordance with the strategic alignment. Program execution and value measurement is outputted in accordance with the demand planning. Program execution and value measurement is applied to the strategic alignment determination.

12-17-2009

20090076989

AUTOMATED CLASSIFICATION ALGORITHM COMPRISING AT LEAST ONE INPUT-INVARIANT PART - A classification algorithm is separated into one or more input-invariant parts and one or more input-dependent classification parts. The input-invariant parts of the classification algorithm capture the underlying and unchanging relationships between the plurality of data elements being operated upon by the classification algorithm, whereas the one or more classification parts embody the probabilistic labeling of the data elements according to the various classifications. For any given iteration, a user's input is used to modify at least one classification part of the algorithm. Recalculated classification parts (i.e., updated classification results) are determined based on computationally simple combinations of the one or more modified classification parts and the one or more input-invariant parts. Preferably, a graphical user interface is used to solicit user input. In this manner, wait times between user feedback iterations can be dramatically reduced, thereby making application of active learning to classification tasks a practical reality.